Evidence map›Paper›PMID 36950194›Full record

ArticleBrain communications2023

Reduced coupling between offline neural replay events and default mode network activation in schizophrenia.

Matthew M Nour, Yunzhe Liu, Cameron Higgins, Mark W Woolrich, Raymond J Dolan

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Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matthew M NourMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK.
Yunzhe LiuMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK.
Cameron HigginsDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
Mark W WoolrichDepartment of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
Raymond J DolanMax Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Schizophrenia is characterized by an abnormal resting state and default mode network brain activity. However, despite intense study, the mechanisms linking default mode network dynamics to neural computation remain elusive. During rest, sequential hippocampal reactivations, known as 'replay', are played out within default mode network activation windows, highlighting a potential role of replay-default mode network coupling in memory consolidation and model-based mental simulation. Here, we test a hypothesis of reduced replay-default mode network coupling in schizophrenia, using magnetoencephalography and a non-spatial sequence learning task designed to elicit off-task (i.e. resting state) neural replay. Participants with a diagnosis of schizophrenia (

Indexed as

decodingdefault mode networkreplayresting state networkschizophrenia

Identifiers

PMID36950194
PMCPMC10026370

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.